mle_truncgauss {mig} | R Documentation |
Maximum likelihood estimation of truncated Gaussian on half space
Description
Given a data matrix and a vector of linear constraints for the half-space, we compute the maximum likelihood estimator of the location and scale matrix
Usage
mle_truncgauss(xdat, beta)
Arguments
xdat |
matrix of observations |
beta |
vector of constraints defining the half-space |
Value
a list with location vector loc
and scale matrix scale
[Package mig version 2.0 Index]